Abstract
In this paper a multiagent based communication framework for gridable electric vehicle (GEV) aggregation in power distribution network is proposed. Also, multi objective optimization is presented for the minimization of power losses and maximization of voltage. Furthermore multiagent system (MAS) based analytical model is proposed for GEV aggregation. Comprehensive case studies are conducted on IEEE 33 and 69 bus test distribution systems using MATLAB and it is observed that the timely and optimal placement of GEV aggregation in distribution network using multiagent communication (MAC) will lead to reduction in power losses and improvement in voltage profile. MATLAB and MOBILE C were used for the simulation studies and results demonstrate significant benefits of GEV aggregation in distribution network.
About the authors
Dr. Santoshkumar Hampannavar is working as an Associate Professor in the Department of Electrical Power and Control Engineering, School of Electrical Engineering and Computing, Adama Science and Technology University, Ethiopia. He obtained PhD degree from NITK Surathkal in 2016 and has been involved in teaching and research since last 16 years. He has more than 25 publications in peer reviewed indexed journals and flagship conferences. He is Senior Member IEEE and has bagged three BEST PAPER AWARDS in IEEE Conferences. His areas of research interest include Power System Communication, Smart Grid, Vehicle-to-Grid (V2G), Deregulated Power System, Energy Market, Cyber Physical Systems for Power Distribution Networks, DSP for Power System Applications, Stochastic Modeling of Intermittent Renewable Energy Resources.
Prof. Udaykumar R Yaragatti is currently serving as a Director of Malaviya National Institute of Technology, Jaipur and Professor (on-lien) at the Department of Electrical and Electronics, National Institute of Technology Karnataka.He is Senior Member IEEE and has more than 150 publications in National/International Journals and Conferences. His research interest includes Smart Grid, Vehicle-to-Grid, Power Electronics, Energy Audit and Management, Renewable Energy and Rural Electrification.
Dr. Suresh Chavhan obtained his Masters degree in System Analysis and Computer Applications from National Institute of Technology Karnataka, Surathkal, India in 2013 and PhD from Indian Institute of Science, Bangalore, India in 2019. His is a member IEEE and has more than 10 publications in peer reviewed indexed Journals and flagship Conferences in the area of intelligent transportation system (ITS), Smart Grid and Sensor Networks.
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